AI Analysis
Final verdict: SAFE
The package shows no signs of obfuscation or credential harvesting, indicating it is likely not malicious. However, the maintainer has only one package, which could be a minor concern.
- No obfuscation or credential harvesting detected
- Maintainer has only one package
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (7858 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Aspose" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aspose-tasks
Create a Python-based task management application using the 'aspose-tasks' package. This application will allow users to import and export Microsoft Project (.mpp) files, view detailed information about tasks within these files, and manipulate task data such as start dates, end dates, and durations. ### Key Features: 1. **File Import/Export**: Allow users to upload a .mpp file and save it back to disk after modifications. 2. **Task Viewer**: Display all tasks in a hierarchical tree structure showing parent-child relationships. 3. **Task Editor**: Enable editing of individual tasks including changing their start/end dates, duration, and other properties. 4. **Statistics Generator**: Automatically generate basic statistics on the imported project like total number of tasks, total duration, etc. 5. **User Interface**: Develop a simple command-line interface (CLI) or a graphical user interface (GUI) using a library like PyQt or Tkinter for ease of use. ### Steps to Build the Application: 1. **Setup Environment**: Install Python and the 'aspose-tasks' package. Ensure all necessary dependencies are installed. 2. **File Handling Functions**: Implement functions to read .mpp files into your application and write them back out. 3. **Task Data Retrieval**: Use 'aspose-tasks' methods to extract task details and display them in a structured format. 4. **Editing Capabilities**: Add functionality to modify task attributes directly through the application. 5. **Statistics Calculation**: Write code to automatically calculate and display project statistics based on the imported data. 6. **UI Development**: Design and implement either a CLI or GUI interface that allows users to interact with the application easily. 7. **Testing & Debugging**: Thoroughly test the application with various .mpp files to ensure robustness and reliability. 8. **Documentation & Deployment**: Document the setup process and usage instructions clearly. Consider deploying the application on a platform like PyPI for easy distribution. ### Utilization of 'aspose-tasks': - For reading and writing .mpp files. - For accessing and modifying task details. - For generating hierarchical representations of tasks. - For calculating project statistics based on task data. This project aims to provide a practical example of how 'aspose-tasks' can be integrated into real-world applications, enhancing project management capabilities.
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